如何使用小数点范围（）的步骤值？ [英] How to use a decimal range() step value?

问题描述

有没有办法在0.1和0.1之间步进0？

我想我可以像下面这样做，但是失败了：

 <$ c （0,1,0.1）：
 print i 
  

相反，它表示step参数不能为零，这是我没有想到的。

解决方案

您也可以使用 NumPy 库（它不是标准库的一部分，但相对容易获得） c $ c> arange 函数：

 >>> import numpy as np 
>>> np.arange（0.0,1.0,0.1）
数组（[0.,0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9]）
  

以及 linspace 函数可以让您控制端点（非当事物不会总是分成正确的片数时）：

 >> ;> np.linspace（0,1,11）
 array（[0.,0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9,1]）$ ​​b $ b>> > np.linspace（0,1,10，endpoint = False）
 array（[0.,0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9]）
  

Is there a way to step between 0 and 1 by 0.1?

I thought I could do it like the following, but it failed:

for i in range(0, 1, 0.1):
    print i

Instead, it says that the step argument cannot be zero, which I did not expect.

解决方案

You can also use the NumPy library (which isn't part of standard library but is relatively easy to obtain) which has the arange function:

>>> import numpy as np
>>> np.arange(0.0, 1.0, 0.1)
array([ 0. ,  0.1,  0.2,  0.3,  0.4,  0.5,  0.6,  0.7,  0.8,  0.9])

as well as the linspace function which lets you have control over what happens at the endpoint (non-trivial for floating point numbers when things won't always divide into the correct number of "slices"):

>>> np.linspace(0,1,11)
array([ 0. ,  0.1,  0.2,  0.3,  0.4,  0.5,  0.6,  0.7,  0.8,  0.9,  1. ])
>>> np.linspace(0,1,10,endpoint=False)
array([ 0. ,  0.1,  0.2,  0.3,  0.4,  0.5,  0.6,  0.7,  0.8,  0.9])

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